Practice of Epidemiologic Analysis [ESP65]
Monday to Friday (5 mornings)
Prof. Kamran Ikram
Erasmus MC, Rotterdam NL
No prior knowledge is required although understanding of basic epidemiology is helpful.
Detailed information about this course:
Faculty: Prof. Kamran Ikram, MD PhD
This is a course in which the theoretical background and practical application of basic epidemiologic analytic tools is discussed. Most topic discussed in this course lie at the cross-roads of Epidemiology and Biostatistics and covers issues that are typically faced by starting researchers. Topics covered are: Data preparation, Missingness, Categorization, Normalization, Standardization, Stratification, Multiple testing, Sample size calculation.
The goal is to provide students with the understanding and tools to perform their initial epidemiologic data analyses.
- To gain a better understanding of the theoretical backgrounds of the topics mentioned above.
- To enable the students to translate the theoretical insights into practical tools, which they can immediately implement in their own research.
The course is particularly intended for students who have completed their data collection and move towards their first data analysis.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.